code: def __init__(
      self, in_channels, out_channels, kernel_size, stride, padding
  ):
      super(group, self).__init__()
      self.conv_a = mfm(in_channels, in_channels, 1, 1, 0)
      self.conv = mfm(
          in_channels, out_channels, kernel_size, stride, padding
      )
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn import Parameter
label_desc: Use image node_id 1 to create a new group object from inherited base classes: nn with example: obj = group(in_channels, out_channels, kernel_size, stride, padding)